Pre-screened and vetted.
Junior Full-Stack Software Engineer specializing in web applications and cloud deployment
Intern Full-Stack Software Engineer specializing in AI, cloud, and web/mobile apps
Junior Backend Software Engineer specializing in APIs, databases, and AI applications
Mid-level Full-Stack Software Engineer specializing in AI, data pipelines, and cloud-native apps
Junior Software Engineer specializing in Python microservices and full-stack web development
Senior Full-Stack Engineer specializing in Python/TypeScript web apps and AI (RAG, agentic workflows)
Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and AI/ML APIs
Mid-level AI Engineer specializing in LLM agents, RAG, and evaluation
Senior Full-Stack Engineer specializing in Python/Flask, React, and autonomous AI systems
Intern Software Engineer specializing in backend, AI, and full-stack web systems
Mid-level Quantitative Developer specializing in low-latency trading systems
“Backend/ML engineer with deep fintech and marketplace experience: built a real-time financial analytics + algorithmic trading platform (Python/Postgres/Kafka/Redis) and drove major DB performance wins (10x faster analytics; sub-10ms response consistency). Also shipped an end-to-end ML recruitment matching platform (scraping/ETL/modeling/Django deployment) with reported 92% matching accuracy, and emphasizes production reliability via monitoring, blue-green deploys, and robust workflow error handling.”
Senior Full-Stack/Backend Engineer specializing in APIs, distributed systems, and AI integrations
“AI/backend engineer who has built and scaled production LLM-powered SaaS features (document assistant + compliance review agent) on a Node.js/TypeScript + Postgres/Redis stack deployed to GCP Kubernetes. Demonstrates strong production reliability chops—async queueing, autoscaling, observability, and database tuning—with quantified wins (p95 latency -60%, query 4s to <200ms) and robust AI guardrails (strict RAG, schema validation, citations, HITL).”
Entry-level AI Engineer specializing in automation and ML platforms
“Built a production Python lead intelligence pipeline that combined external APIs, website crawling, and automated opportunity brief generation, with strong emphasis on reliability, observability, and recovery. Also has hands-on Playwright experience hardening flaky, dynamic web automations and reducing intermittent failures to under 5% through logging, screenshots, session management, and retry strategies.”
Mid-level Python Developer specializing in cloud-native APIs and microservices
Mid-level Full-Stack AI Engineer specializing in RAG systems and intelligent automation
Mid-level Python Backend Engineer specializing in microservices and AWS
Junior Backend Engineer specializing in Python/Django and subscription-based systems
Mid-level Full-Stack Developer specializing in Python, React, and cloud-native microservices
Junior AI/ML Engineer specializing in LLM systems and personalization
“Backend engineer who built and scaled AmazonProAI, a multi-tenant SaaS platform for Amazon sellers, using a modular Django/DRF monolith with strict seller-level isolation and security controls. Led a controlled SQLite-to-PostgreSQL migration and hardened bulk Excel ingestion with idempotency and data integrity constraints to prevent duplicate metrics and noisy alerts while keeping the system ready for future service extraction.”